Stories

Using 3D reconstruction of SEM images to reverse-engineer the human ovary

A team of researchers at the Catholic University of Louvain used topographic characterization and 3D reconstruction to reverse engineer the human ovary, bringing a plethora of new possibilities in biomedicine and biomimetics.

Revealing diet from tooth wear surfaces in wild chimpanzees

Researchers used 3D surface texture analysis to study the tooth surfaces of two wild chimpanzee populations from Western Africa to trace seasonal dietary variations and individual feeding habits in these animals.

Using new dedicated tools for enhanced analysis of force curves

Researchers at the Structural Nanomechanics Lab at Dalhousie University in Canada have been investigating the nanomechanical behavior of Collagen I fibrils. Their study demonstrated that nanomechanical mapping can detect subtle changes in molecular dynamics and fibril architecture. This article explains how Mountains® software allows fine-tuning and detailed analysis of force volume data.

Analyzing data from a large-scale multi-instrument project

The Institute of Electronics, Microelectronics and Nanotechnology (IEMN) in France recently completed the “Dirac III-V” project investigating ways of producing Dirac electrons (electrons without any mass). This project called for the use of many different fabrication methods as well as a software program capable of bringing together and processing the different kinds of datasets generated.

Intra-oral scanners for tooth erosion quantification

A team of researchers at King’s College London worked on ways to improve the understanding of the erosive tooth wear process, and also investigated innovative techniques for clinicians to monitor and treat it.

Investigating next-gen engine components at the nanoscale

A research team based at JEOL France recently studied the composition of magnetic fields incorporated in direct current electrical motors. In this study, they used a FIB-SEM technique coupled with a specialized analysis software package, based on Mountains® technology.

Quantifying use-wear on quartzite stone tools

Quartzite stone flakes were analyzed to better understand the use of prehistoric artifacts

Characterizing antimicrobial surface topography

A group of researchers from the University of Ferrara, Italy, defined a general procedure to characterize surfaces and to evaluate their antimicrobial properties. Learn more about how they used Mountains® software in their study.

Correlating AFM, SEM & EDX data for nanoparticle analysis

For this application, a research team at the LNE Nanotech Institute combined measurements from several instrument techniques including Atomic Force Microscopy (AFM) and Scanning Electron Microscope (SEM) equipped with a new-generation energy dispersive X-ray detector (EDX). They used MountainsLab® software to correlate the collected data and extract the relevant information.

3D profilometry for quality control of pharmaceutical tablets

The profilometer manufacturer Nanovea conducted a study of different pharmaceutical tablets in order to study their surface roughness. With the use of a profilometer, they measured the average surface roughness of three different tablet surfaces. The data obtained was then analyzed with Nanovea’s Professional 3D software based on Mountains® technology.

Ear bone erosion: SEM image 3D reconstruction helps identify cells responsible

Incus bone erosion is considered a typical characteristic of advanced cholesteatomas (CHO), a pathology of the ear. Researchers at the Sapienza University of Rome explain how they used SEM image reconstruction technique to solve the mystery of this pathology and discover which cell erodes the middle ear incus bone.

Assessing the tribological interface of mechanical parts

Researchers at the Luleå University of Technology and Scania in Sweden, recently investigated how surface topography influences oil film formation in tribological interfaces pertinent to gears. The study was oriented towards the improvement of fuel economy and sustainability. Jonny Hansen, a member of the research team, explains how Mountains® software was used to help achieve results.